Courses

Explore the risks and rewards of data privacy and collection.

Master how to use AI in your everyday work and drive impact at your organization. Access on-demand learning modules, expert-led sessions, and Harvard insights that help you apply AI to real business challenges—join today for access through September 2026.

Learn skills and tools that support data science and reproducible research, to ensure you can trust your own research results, reproduce them yourself, and communicate them to others.

The structure, annotation, normalization, and interpretation of genome scale assays.

Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.

Learn probability theory — essential for a data scientist — using a case study on the financial crisis of 2007–2008.

Learn how to use R to implement linear regression, one of the most common statistical modeling approaches in data science.

Perform RNA-Seq, ChIP-Seq, and DNA methylation data analyses, using open source software, including R and Bioconductor.

Learn how to use R to implement linear regression, one of the most common statistical modeling approaches in data science.

Sentar las bases de conocimiento en R y aprender a discutir, analizar y visualizar datos.

Join Harvard University instructor Pavlos Protopapas in this online course to learn how to use Python to harness and analyze data.

Learn basic data visualization principles and how to apply them using ggplot2.

Learn to use R programming to apply linear models to analyze data in life sciences.

Develop a data mindset and the analytical skills to interpret and communicate data while applying concepts to real business problems in this course from Harvard Business School (HBS) Online.

Build a foundation in R and learn how to wrangle, analyze, and visualize data.

Learn advanced approaches to genomic visualization, reproducible analysis, data architecture, and exploration of cloud-scale consortium-generated genomic data.

This course from Harvard Business School (HBS) Online will teach you the practical skills to turn data insights into strategic action.

Learn introductory programming and data analysis in MATLAB, with applications to biology and medicine.

Focusing on the basics of machine learning and embedded systems, such as smartphones, this course will introduce you to the “language” of TinyML.

Show what you’ve learned from the Professional Certificate Program in Data Science.

Learn basic data visualization principles and how to apply them using ggplot2.

Learn to program in TensorFlow Lite for microcontrollers so that you can write the code, and deploy your model to your very own tiny microcontroller. Before you know it, you’ll be implementing an entire TinyML application.

A focus on the techniques commonly used to perform statistical inference on high throughput data.

Build a foundation in R and learn how to wrangle, analyze, and visualize data.

Learn simple graphical rules that allow you to use intuitive pictures to improve study design and data analysis for causal inference.

A focus on several techniques that are widely used in the analysis of high-dimensional data.

Build practical deep learning skills for Python-savvy professionals.

Develop skills in digital research and visualization techniques across subjects and fields within the humanities.

Learn inference and modeling: two of the most widely used statistical tools in data analysis.

Learn probability theory — essential for a data scientist — using a case study on the financial crisis of 2007–2008.